Pandas Profiling Report

Dataset statistics

Number of variables	23
Number of observations	4061
Missing cells	7755
Missing cells (%)	8.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	729.8 KiB
Average record size in memory	184.0 B

Variable types

Numeric	13
Categorical	10

Alerts

`Age` is highly overall correlated with `Creatinine_Clearance`	High correlation
`Year_DM_Diagnosed` is highly overall correlated with `DM_Duration`	High correlation
`DM_Duration` is highly overall correlated with `Year_DM_Diagnosed`	High correlation
`Waist` is highly overall correlated with `BMI`	High correlation
`Fasting_Blood_Glucose_Value_SI_Units` is highly overall correlated with `HbA1C_Admission_Value` and 1 other fields	High correlation
`HbA1C_Admission_Value` is highly overall correlated with `Fasting_Blood_Glucose_Value_SI_Units` and 1 other fields	High correlation
`BMI` is highly overall correlated with `Waist`	High correlation
`Creatinine_Clearance` is highly overall correlated with `Age`	High correlation
`Education` is highly overall correlated with `Work` and 6 other fields	High correlation
`DM_Treatment` is highly overall correlated with `HbA1C_Admission_Value` and 2 other fields	High correlation
`Work` is highly overall correlated with `Education` and 7 other fields	High correlation
`Cardiac_Arrest_Admission` is highly overall correlated with `Education` and 6 other fields	High correlation
`Non_Cardiac_Condition` is highly overall correlated with `Education` and 7 other fields	High correlation
`Hypertension` is highly overall correlated with `Education` and 7 other fields	High correlation
`Dyslipidemia` is highly overall correlated with `Education` and 7 other fields	High correlation
`DM` is highly overall correlated with `Fasting_Blood_Glucose_Value_SI_Units` and 10 other fields	High correlation
`DM_Type` is highly overall correlated with `DM_Treatment` and 1 other fields	High correlation
`Smoking_History` is highly overall correlated with `Work` and 5 other fields	High correlation
`Lipid_24_Collected` is highly overall correlated with `Education` and 7 other fields	High correlation
`Cardiac_Arrest_Admission` is highly imbalanced (91.7%)	Imbalance
`Non_Cardiac_Condition` is highly imbalanced (87.6%)	Imbalance
`Lipid_24_Collected` is highly imbalanced (60.8%)	Imbalance
`Year_DM_Diagnosed` has 2057 (50.7%) missing values	Missing
`DM_Duration` has 1975 (48.6%) missing values	Missing
`Waist` has 92 (2.3%) missing values	Missing
`Fasting_Blood_Glucose_Value_SI_Units` has 1289 (31.7%) missing values	Missing
`HbA1C_Admission_Value` has 1499 (36.9%) missing values	Missing
`Cholesterol_Value_SI_Units` has 334 (8.2%) missing values	Missing
`Triglycerides_Value_SI_Units` has 374 (9.2%) missing values	Missing
`BMI` has 60 (1.5%) missing values	Missing
`Creatinine_Clearance` has 69 (1.7%) missing values	Missing
`Year_DM_Diagnosed` is highly skewed (γ1 = -30.88489352)	Skewed
`DM_Duration` is highly skewed (γ1 = 31.49782961)	Skewed
`Education` has 969 (23.9%) zeros	Zeros
`DM_Treatment` has 103 (2.5%) zeros	Zeros

Reproduction

Analysis started	2023-03-06 22:07:53.797749
Analysis finished	2023-03-06 22:08:28.745202
Duration	34.95 seconds
Software version	ydata-profiling vv4.0.0
Download configuration	config.json

Age
Real number (ℝ)

Distinct	79
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	60.351884

Minimum	18
Maximum	112
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.9 KiB

Quantile statistics

Minimum	18
5-th percentile	40
Q1	52
median	60
Q3	69
95-th percentile	81
Maximum	112
Range	94
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	12.727595
Coefficient of variation (CV)	0.21088977
Kurtosis	-0.12256521
Mean	60.351884
Median Absolute Deviation (MAD)	9
Skewness	0.0038224183
Sum	245089
Variance	161.99166
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
62	149	3.7%
72	138	3.4%
60	132	3.3%
57	132	3.3%
67	121	3.0%
59	119	2.9%
52	117	2.9%
56	114	2.8%
64	112	2.8%
70	111	2.7%
Other values (69)	2816	69.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18	1	< 0.1%
23	1	< 0.1%
24	3	0.1%
25	6	0.1%
26	5	0.1%
27	4	0.1%
28	5	0.1%
29	5	0.1%
30	5	0.1%
31	7	0.2%

Value	Count	Frequency (%)
112	1	< 0.1%
102	1	< 0.1%
99	5	0.1%
97	2	< 0.1%
96	1	< 0.1%
95	3	0.1%
94	6	0.1%
93	6	0.1%
92	6	0.1%
91	3	0.1%

Year_DM_Diagnosed
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	46
Distinct (%)	2.3%
Missing	2057
Missing (%)	50.7%
Infinite	0
Infinite (%)	0.0%
Mean	1998.4251

Minimum	10
Maximum	2022
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.9 KiB

Quantile statistics

Minimum	10
5-th percentile	1984.15
Q1	1996
median	2002
Q3	2007
95-th percentile	2011
Maximum	2022
Range	2012
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	63.20694
Coefficient of variation (CV)	0.031628375
Kurtosis	968.11143
Mean	1998.4251
Median Absolute Deviation (MAD)	5
Skewness	-30.884894
Sum	4004844
Variance	3995.1172
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=46)

Value	Count	Frequency (%)
2002	283	7.0%
2007	162	4.0%
1992	150	3.7%
1997	149	3.7%
2000	114	2.8%
2008	106	2.6%
2006	97	2.4%
2011	76	1.9%
2010	74	1.8%
2009	68	1.7%
Other values (36)	725	17.9%
(Missing)	2057	50.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	1	< 0.1%
20	1	< 0.1%
1967	1	< 0.1%
1970	1	< 0.1%
1972	2	< 0.1%
1973	2	< 0.1%
1974	1	< 0.1%
1975	1	< 0.1%
1977	7	0.2%
1978	1	< 0.1%

Value	Count	Frequency (%)
2022	1	< 0.1%
2013	1	< 0.1%
2012	52	1.3%
2011	76	1.9%
2010	74	1.8%
2009	68	1.7%
2008	106	2.6%
2007	162	4.0%
2006	97	2.4%
2005	65	1.6%

DM_Duration
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	45
Distinct (%)	2.2%
Missing	1975
Missing (%)	48.6%
Infinite	0
Infinite (%)	0.0%
Mean	13.706616

Minimum	-10
Maximum	2004
Zeros	30
Zeros (%)	0.7%
Negative	1
Negative (%)	< 0.1%
Memory size	31.9 KiB

Quantile statistics

Minimum	-10
5-th percentile	1
Q1	5.25
median	10
Q3	16
95-th percentile	27.75
Maximum	2004
Range	2014
Interquartile range (IQR)	10.75

Descriptive statistics

Standard deviation	61.986548
Coefficient of variation (CV)	4.5223817
Kurtosis	1007.2521
Mean	13.706616
Median Absolute Deviation (MAD)	5
Skewness	31.49783
Sum	28592
Variance	3842.3321
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
10	339	8.3%
20	198	4.9%
15	170	4.2%
5	169	4.2%
12	113	2.8%
6	100	2.5%
4	85	2.1%
2	83	2.0%
7	82	2.0%
8	79	1.9%
Other values (35)	668	16.4%
(Missing)	1975	48.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-10	1	< 0.1%
0	30	0.7%
1	78	1.9%
2	83	2.0%
3	76	1.9%
4	85	2.1%
5	169	4.2%
6	100	2.5%
7	82	2.0%
8	79	1.9%

Value	Count	Frequency (%)
2004	1	< 0.1%
1992	1	< 0.1%
45	1	< 0.1%
42	1	< 0.1%
40	5	0.1%
38	1	< 0.1%
37	2	< 0.1%
36	1	< 0.1%
35	7	0.2%
34	1	< 0.1%

Heart_Rate
Real number (ℝ)

Distinct	140
Distinct (%)	3.5%
Missing	6
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	85.175832

Minimum	0
Maximum	222
Zeros	5
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	31.9 KiB

Quantile statistics

Minimum	0
5-th percentile	57
Q1	71
median	82
Q3	96
95-th percentile	120
Maximum	222
Range	222
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	21.087922
Coefficient of variation (CV)	0.24758105
Kurtosis	3.2637604
Mean	85.175832
Median Absolute Deviation (MAD)	12
Skewness	1.0140859
Sum	345388
Variance	444.70045
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	298	7.3%
90	203	5.0%
70	202	5.0%
100	151	3.7%
78	136	3.3%
88	126	3.1%
75	118	2.9%
72	105	2.6%
85	101	2.5%
76	88	2.2%
Other values (130)	2527	62.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	0.1%
8	1	< 0.1%
25	2	< 0.1%
27	1	< 0.1%
30	3	0.1%
34	2	< 0.1%
35	3	0.1%
36	2	< 0.1%
38	5	0.1%
40	11	0.3%

Value	Count	Frequency (%)
222	1	< 0.1%
220	1	< 0.1%
200	2	< 0.1%
187	1	< 0.1%
180	4	0.1%
175	1	< 0.1%
174	1	< 0.1%
172	2	< 0.1%
170	3	0.1%
168	3	0.1%

Waist
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	120
Distinct (%)	3.0%
Missing	92
Missing (%)	2.3%
Infinite	0
Infinite (%)	0.0%
Mean	97.592341

Minimum	25
Maximum	194
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.9 KiB

Quantile statistics

Minimum	25
5-th percentile	72
Q1	88
median	98
Q3	109
95-th percentile	125
Maximum	194
Range	169
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	17.450379
Coefficient of variation (CV)	0.1788089
Kurtosis	2.3121858
Mean	97.592341
Median Absolute Deviation (MAD)	10
Skewness	-0.35062131
Sum	387344
Variance	304.51573
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
90	225	5.5%
100	171	4.2%
85	158	3.9%
110	151	3.7%
98	145	3.6%
105	132	3.3%
80	127	3.1%
95	123	3.0%
88	123	3.0%
102	111	2.7%
Other values (110)	2503	61.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
25	1	< 0.1%
27	1	< 0.1%
28	1	< 0.1%
30	2	< 0.1%
32	9	0.2%
33	4	0.1%
34	5	0.1%
35	1	< 0.1%
36	8	0.2%
37	1	< 0.1%

Value	Count	Frequency (%)
194	1	< 0.1%
191	2	< 0.1%
165	1	< 0.1%
160	1	< 0.1%
155	1	< 0.1%
152	1	< 0.1%
150	4	0.1%
148	5	0.1%
147	1	< 0.1%
146	1	< 0.1%

Fasting_Blood_Glucose_Value_SI_Units
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	458
Distinct (%)	16.5%
Missing	1289
Missing (%)	31.7%
Infinite	0
Infinite (%)	0.0%
Mean	7.6690703

Minimum	0.33
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.9 KiB

Quantile statistics

Minimum	0.33
5-th percentile	4.2
Q1	5.4
median	6.7
Q3	9.2
95-th percentile	14.245
Maximum	20
Range	19.67
Interquartile range (IQR)	3.8

Descriptive statistics

Standard deviation	3.2859569
Coefficient of variation (CV)	0.42846875
Kurtosis	1.5200427
Mean	7.6690703
Median Absolute Deviation (MAD)	1.6
Skewness	1.2062127
Sum	21258.663
Variance	10.797513
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	79	1.9%
5.2	76	1.9%
5.6	68	1.7%
5	68	1.7%
4.8	55	1.4%
5.4	53	1.3%
6.2	53	1.3%
5.8	53	1.3%
5.5	52	1.3%
5.7	49	1.2%
Other values (448)	2166	53.3%
(Missing)	1289	31.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.33	1	< 0.1%
0.38	1	< 0.1%
0.46	1	< 0.1%
0.47	1	< 0.1%
0.58	1	< 0.1%
0.61	1	< 0.1%
0.71	1	< 0.1%
0.81	1	< 0.1%
0.98	1	< 0.1%
1.01	1	< 0.1%

Value	Count	Frequency (%)
20	3	0.1%
19.7	3	0.1%
19.6	1	< 0.1%
19.5	1	< 0.1%
19.4	2	< 0.1%
19.25	1	< 0.1%
19.2	1	< 0.1%
19.1	1	< 0.1%
19	3	0.1%
18.9	1	< 0.1%

HbA1C_Admission_Value
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	384
Distinct (%)	15.0%
Missing	1499
Missing (%)	36.9%
Infinite	0
Infinite (%)	0.0%
Mean	7.5797931

Minimum	0
Maximum	88.4
Zeros	2
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	31.9 KiB

Quantile statistics

Minimum	0
5-th percentile	4.9
Q1	5.9
median	7
Q3	8.9225
95-th percentile	11.9095
Maximum	88.4
Range	88.4
Interquartile range (IQR)	3.0225

Descriptive statistics

Standard deviation	2.7954479
Coefficient of variation (CV)	0.36880267
Kurtosis	272.19291
Mean	7.5797931
Median Absolute Deviation (MAD)	1.37
Skewness	9.9580976
Sum	19419.43
Variance	7.814529
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	144	3.5%
5.9	71	1.7%
5.7	69	1.7%
5.8	65	1.6%
5.3	53	1.3%
5.6	52	1.3%
5.5	52	1.3%
7	49	1.2%
5	48	1.2%
5.4	48	1.2%
Other values (374)	1911	47.1%
(Missing)	1499	36.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	< 0.1%
3.2	1	< 0.1%
3.3	1	< 0.1%
3.5	1	< 0.1%
3.6	1	< 0.1%
3.75	1	< 0.1%
3.9	12	0.3%
4	23	0.6%
4.01	1	< 0.1%
4.1	4	0.1%

Value	Count	Frequency (%)
88.4	1	< 0.1%
20	1	< 0.1%
17.5	1	< 0.1%
16.6	1	< 0.1%
16	2	< 0.1%
15.8	1	< 0.1%
15.7	2	< 0.1%
15.4	1	< 0.1%
15.3	1	< 0.1%
15.2	2	< 0.1%

Cholesterol_Value_SI_Units
Real number (ℝ)

Distinct	555
Distinct (%)	14.9%
Missing	334
Missing (%)	8.2%
Infinite	0
Infinite (%)	0.0%
Mean	4.7274624

Minimum	0.07
Maximum	15.7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.9 KiB

Quantile statistics

Minimum	0.07
5-th percentile	2.83
Q1	3.8
median	4.6
Q3	5.505
95-th percentile	7
Maximum	15.7
Range	15.63
Interquartile range (IQR)	1.705

Descriptive statistics

Standard deviation	1.3533624
Coefficient of variation (CV)	0.28627671
Kurtosis	3.086324
Mean	4.7274624
Median Absolute Deviation (MAD)	0.88
Skewness	0.80137913
Sum	17619.252
Variance	1.8315897
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.3	82	2.0%
4.5	80	2.0%
5.2	74	1.8%
4.6	73	1.8%
4.2	73	1.8%
5.6	70	1.7%
4.1	67	1.6%
4.9	67	1.6%
4	66	1.6%
4.8	65	1.6%
Other values (545)	3010	74.1%
(Missing)	334	8.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.08	3	0.1%
0.1	2	< 0.1%
0.13	1	< 0.1%
0.16	1	< 0.1%
0.17	2	< 0.1%
0.18	1	< 0.1%
0.7	1	< 0.1%
1	1	< 0.1%
1.2	1	< 0.1%

Value	Count	Frequency (%)
15.7	1	< 0.1%
13.74	1	< 0.1%
12.64554	1	< 0.1%
11.8	2	< 0.1%
11.36	1	< 0.1%
11.29	1	< 0.1%
10.97	1	< 0.1%
10.12	1	< 0.1%
10	1	< 0.1%
9.91	1	< 0.1%

Triglycerides_Value_SI_Units
Real number (ℝ)

Distinct	432
Distinct (%)	11.7%
Missing	374
Missing (%)	9.2%
Infinite	0
Infinite (%)	0.0%
Mean	1.6549231

Minimum	0.01
Maximum	17.6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.9 KiB

Quantile statistics

Minimum	0.01
5-th percentile	0.59
Q1	0.96
median	1.4
Q3	2
95-th percentile	3.591
Maximum	17.6
Range	17.59
Interquartile range (IQR)	1.04

Descriptive statistics

Standard deviation	1.1592965
Coefficient of variation (CV)	0.70051378
Kurtosis	31.752659
Mean	1.6549231
Median Absolute Deviation (MAD)	0.5
Skewness	3.9022952
Sum	6101.7016
Variance	1.3439683
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	108	2.7%
1.1	107	2.6%
1.2	107	2.6%
1.3	102	2.5%
0.8	99	2.4%
0.9	98	2.4%
1.5	97	2.4%
1.4	91	2.2%
1.6	91	2.2%
1.8	80	2.0%
Other values (422)	2707	66.7%
(Missing)	374	9.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.01	6	0.1%
0.02	3	0.1%
0.03	1	< 0.1%
0.04	1	< 0.1%
0.1	1	< 0.1%
0.13	1	< 0.1%
0.14	1	< 0.1%
0.18	1	< 0.1%
0.2	1	< 0.1%
0.25	1	< 0.1%

Value	Count	Frequency (%)
17.6	1	< 0.1%
17.4	1	< 0.1%
14.55	1	< 0.1%
11.56	1	< 0.1%
11.01	1	< 0.1%
10.59	1	< 0.1%
9.72	1	< 0.1%
9.14	1	< 0.1%
9	1	< 0.1%
8.88	1	< 0.1%

BMI
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	1187
Distinct (%)	29.7%
Missing	60
Missing (%)	1.5%
Infinite	0
Infinite (%)	0.0%
Mean	29.011505

Minimum	13.34
Maximum	342.78
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.9 KiB

Quantile statistics

Minimum	13.34
5-th percentile	21.48
Q1	24.91
median	27.76
Q3	31.59
95-th percentile	39.54
Maximum	342.78
Range	329.44
Interquartile range (IQR)	6.68

Descriptive statistics

Standard deviation	8.9093348
Coefficient of variation (CV)	0.30709661
Kurtosis	507.7302
Mean	29.011505
Median Absolute Deviation (MAD)	3.3
Skewness	16.91749
Sum	116075.03
Variance	79.376246
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
25.71	40	1.0%
27.68	38	0.9%
24.22	36	0.9%
29.41	30	0.7%
29.76	28	0.7%
31.25	27	0.7%
27.34	27	0.7%
25.95	26	0.6%
31.22	25	0.6%
28.73	23	0.6%
Other values (1177)	3701	91.1%
(Missing)	60	1.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13.34	1	< 0.1%
14.84	1	< 0.1%
15.78	1	< 0.1%
16.42	2	< 0.1%
16.44	1	< 0.1%
16.77	1	< 0.1%
16.82	2	< 0.1%
16.9	1	< 0.1%
17.04	1	< 0.1%
17.07	1	< 0.1%

Value	Count	Frequency (%)
342.78	1	< 0.1%
233.4	1	< 0.1%
221.14	1	< 0.1%
96.88	1	< 0.1%
69.25	1	< 0.1%
66.33	1	< 0.1%
65.38	1	< 0.1%
65.02	1	< 0.1%
63.57	1	< 0.1%
61.33	1	< 0.1%

Creatinine_Clearance
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	3429
Distinct (%)	85.9%
Missing	69
Missing (%)	1.7%
Infinite	0
Infinite (%)	0.0%
Mean	88.409218

Minimum	3.7
Maximum	1164.7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.9 KiB

Quantile statistics

Minimum	3.7
5-th percentile	25.551
Q1	57.165
median	82.865
Q3	110.9875
95-th percentile	167.3145
Maximum	1164.7
Range	1161
Interquartile range (IQR)	53.8225

Descriptive statistics

Standard deviation	53.172312
Coefficient of variation (CV)	0.60143403
Kurtosis	101.67909
Mean	88.409218
Median Absolute Deviation (MAD)	26.955
Skewness	6.1454723
Sum	352929.6
Variance	2827.2948
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
86.1	6	0.1%
83.2	6	0.1%
76.16	4	0.1%
79.9	4	0.1%
76.26	4	0.1%
67.65	4	0.1%
110.7	4	0.1%
97.17	4	0.1%
98.4	3	0.1%
76.88	3	0.1%
Other values (3419)	3950	97.3%
(Missing)	69	1.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3.7	1	< 0.1%
5.21	1	< 0.1%
5.24	1	< 0.1%
5.57	1	< 0.1%
5.7	1	< 0.1%
5.98	1	< 0.1%
6.18	1	< 0.1%
6.23	1	< 0.1%
6.29	1	< 0.1%
6.33	1	< 0.1%

Value	Count	Frequency (%)
1164.7	1	< 0.1%
1153.62	1	< 0.1%
875.43	1	< 0.1%
684.96	1	< 0.1%
626.18	1	< 0.1%
500.2	1	< 0.1%
460.63	1	< 0.1%
363.73	1	< 0.1%
321.8	1	< 0.1%
298.68	1	< 0.1%

Gender
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.9 KiB

1	2697
0	1364

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4061
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	2697	66.4%
0	1364	33.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	2697	66.4%
0	1364	33.6%

Most occurring characters

Value	Count	Frequency (%)
1	2697	66.4%
0	1364	33.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4061	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2697	66.4%
0	1364	33.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	4061	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2697	66.4%
0	1364	33.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4061	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2697	66.4%
0	1364	33.6%

Education
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	7
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.9202167

Minimum	0
Maximum	6
Zeros	969
Zeros (%)	23.9%
Negative	0
Negative (%)	0.0%
Memory size	31.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	2
95-th percentile	4
Maximum	6
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.4284366
Coefficient of variation (CV)	0.74389343
Kurtosis	-0.55103223
Mean	1.9202167
Median Absolute Deviation (MAD)	1
Skewness	0.32913589
Sum	7798
Variance	2.0404311
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2	1965	48.4%
0	969	23.9%
4	645	15.9%
1	249	6.1%
5	164	4.0%
3	65	1.6%
6	4	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	969	23.9%
1	249	6.1%
2	1965	48.4%
3	65	1.6%
4	645	15.9%
5	164	4.0%
6	4	0.1%

Value	Count	Frequency (%)
6	4	0.1%
5	164	4.0%
4	645	15.9%
3	65	1.6%
2	1965	48.4%
1	249	6.1%
0	969	23.9%

Work
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.9 KiB

0	2923
1	994
2	140
3	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4061
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
0	2923	72.0%
1	994	24.5%
2	140	3.4%
3	4	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2923	72.0%
1	994	24.5%
2	140	3.4%
3	4	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	2923	72.0%
1	994	24.5%
2	140	3.4%
3	4	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4061	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2923	72.0%
1	994	24.5%
2	140	3.4%
3	4	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	4061	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2923	72.0%
1	994	24.5%
2	140	3.4%
3	4	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4061	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2923	72.0%
1	994	24.5%
2	140	3.4%
3	4	0.1%

Cardiac_Arrest_Admission
Categorical

HIGH CORRELATION IMBALANCE

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.9 KiB

0	3974
1	73
2	10
3	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4061
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
0	3974	97.9%
1	73	1.8%
2	10	0.2%
3	4	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3974	97.9%
1	73	1.8%
2	10	0.2%
3	4	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	3974	97.9%
1	73	1.8%
2	10	0.2%
3	4	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4061	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3974	97.9%
1	73	1.8%
2	10	0.2%
3	4	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	4061	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3974	97.9%
1	73	1.8%
2	10	0.2%
3	4	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4061	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3974	97.9%
1	73	1.8%
2	10	0.2%
3	4	0.1%

Non_Cardiac_Condition
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.9 KiB

0	3943
1	114
2	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4061
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
0	3943	97.1%
1	114	2.8%
2	4	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3943	97.1%
1	114	2.8%
2	4	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	3943	97.1%
1	114	2.8%
2	4	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4061	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3943	97.1%
1	114	2.8%
2	4	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	4061	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3943	97.1%
1	114	2.8%
2	4	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4061	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3943	97.1%
1	114	2.8%
2	4	0.1%

Hypertension
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.9 KiB

1	2624
0	1432
2	5

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4061
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
1	2624	64.6%
0	1432	35.3%
2	5	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	2624	64.6%
0	1432	35.3%
2	5	0.1%

Most occurring characters

Value	Count	Frequency (%)
1	2624	64.6%
0	1432	35.3%
2	5	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4061	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2624	64.6%
0	1432	35.3%
2	5	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	4061	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2624	64.6%
0	1432	35.3%
2	5	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4061	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2624	64.6%
0	1432	35.3%
2	5	0.1%

Dyslipidemia
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.9 KiB

1	2290
0	1766
2	5

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4061
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
1	2290	56.4%
0	1766	43.5%
2	5	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	2290	56.4%
0	1766	43.5%
2	5	0.1%

Most occurring characters

Value	Count	Frequency (%)
1	2290	56.4%
0	1766	43.5%
2	5	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4061	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2290	56.4%
0	1766	43.5%
2	5	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	4061	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2290	56.4%
0	1766	43.5%
2	5	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4061	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2290	56.4%
0	1766	43.5%
2	5	0.1%

DM
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.9 KiB

1	2173
0	1883
2	5

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4061
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	0
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
1	2173	53.5%
0	1883	46.4%
2	5	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	2173	53.5%
0	1883	46.4%
2	5	0.1%

Most occurring characters

Value	Count	Frequency (%)
1	2173	53.5%
0	1883	46.4%
2	5	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4061	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2173	53.5%
0	1883	46.4%
2	5	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	4061	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2173	53.5%
0	1883	46.4%
2	5	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4061	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2173	53.5%
0	1883	46.4%
2	5	0.1%

DM_Type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.9 KiB

1	2163
2	1872
0	26

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4061
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
1	2163	53.3%
2	1872	46.1%
0	26	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	2163	53.3%
2	1872	46.1%
0	26	0.6%

Most occurring characters

Value	Count	Frequency (%)
1	2163	53.3%
2	1872	46.1%
0	26	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4061	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2163	53.3%
2	1872	46.1%
0	26	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	4061	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2163	53.3%
2	1872	46.1%
0	26	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4061	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2163	53.3%
2	1872	46.1%
0	26	0.6%

DM_Treatment
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	10
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.0076336

Minimum	0
Maximum	9
Zeros	103
Zeros (%)	2.5%
Negative	0
Negative (%)	0.0%
Memory size	31.9 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	5
median	8
Q3	9
95-th percentile	9
Maximum	9
Range	9
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.446107
Coefficient of variation (CV)	0.34906319
Kurtosis	0.50661024
Mean	7.0076336
Median Absolute Deviation (MAD)	1
Skewness	-1.1742262
Sum	28458
Variance	5.9834393
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
9	1873	46.1%
7	896	22.1%
5	489	12.0%
3	338	8.3%
8	164	4.0%
0	103	2.5%
1	100	2.5%
4	63	1.6%
6	34	0.8%
2	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	103	2.5%
1	100	2.5%
2	1	< 0.1%
3	338	8.3%
4	63	1.6%
5	489	12.0%
6	34	0.8%
7	896	22.1%
8	164	4.0%
9	1873	46.1%

Value	Count	Frequency (%)
9	1873	46.1%
8	164	4.0%
7	896	22.1%
6	34	0.8%
5	489	12.0%
4	63	1.6%
3	338	8.3%
2	1	< 0.1%
1	100	2.5%
0	103	2.5%

Smoking_History
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.9 KiB

1	2464
0	982
2	524
3	85
4	6

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4061
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	4
3rd row	0
4th row	4
5th row	4

Common Values

Value	Count	Frequency (%)
1	2464	60.7%
0	982	24.2%
2	524	12.9%
3	85	2.1%
4	6	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	2464	60.7%
0	982	24.2%
2	524	12.9%
3	85	2.1%
4	6	0.1%

Most occurring characters

Value	Count	Frequency (%)
1	2464	60.7%
0	982	24.2%
2	524	12.9%
3	85	2.1%
4	6	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4061	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2464	60.7%
0	982	24.2%
2	524	12.9%
3	85	2.1%
4	6	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	4061	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2464	60.7%
0	982	24.2%
2	524	12.9%
3	85	2.1%
4	6	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4061	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2464	60.7%
0	982	24.2%
2	524	12.9%
3	85	2.1%
4	6	0.1%

Lipid_24_Collected
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.9 KiB

1	3455
0	599
2	7

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4061
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
1	3455	85.1%
0	599	14.8%
2	7	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	3455	85.1%
0	599	14.8%
2	7	0.2%

Most occurring characters

Value	Count	Frequency (%)
1	3455	85.1%
0	599	14.8%
2	7	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4061	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	3455	85.1%
0	599	14.8%
2	7	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	4061	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	3455	85.1%
0	599	14.8%
2	7	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4061	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	3455	85.1%
0	599	14.8%
2	7	0.2%

Auto

Heatmap
Table

	Age	Year_DM_Diagnosed	DM_Duration	Heart_Rate	Waist	Fasting_Blood_Glucose_Value_SI_Units	HbA1C_Admission_Value	Cholesterol_Value_SI_Units	Triglycerides_Value_SI_Units	BMI	Creatinine_Clearance	Education	DM_Treatment	Gender	Work	Cardiac_Arrest_Admission	Non_Cardiac_Condition	Hypertension	Dyslipidemia	DM	DM_Type	Smoking_History	Lipid_24_Collected
Age	1.000	-0.295	0.301	0.040	-0.098	0.044	0.029	-0.176	-0.226	-0.154	-0.639	-0.034	-0.110	0.162	0.327	0.057	0.066	0.205	0.121	0.140	0.163	0.161	0.057
Year_DM_Diagnosed	-0.295	1.000	-0.995	-0.062	-0.040	0.029	-0.089	0.195	0.090	-0.118	0.219	-0.004	-0.067	0.000	0.110	0.000	0.000	0.000	0.000	0.078	0.499	0.051	0.000
DM_Duration	0.301	-0.995	1.000	0.051	0.044	-0.018	0.075	-0.179	-0.070	0.108	-0.220	-0.007	0.054	0.000	0.000	0.000	0.000	0.000	0.022	0.078	0.499	0.000	0.000
Heart_Rate	0.040	-0.062	0.051	1.000	-0.009	0.087	0.112	0.014	-0.005	0.047	-0.060	0.007	-0.098	0.117	0.047	0.176	0.158	0.091	0.000	0.102	0.090	0.039	0.000
Waist	-0.098	-0.040	0.044	-0.009	1.000	0.111	0.105	-0.005	0.130	0.509	0.258	0.004	-0.132	0.121	0.055	0.028	0.000	0.107	0.118	0.116	0.083	0.065	0.072
Fasting_Blood_Glucose_Value_SI_Units	0.044	0.029	-0.018	0.087	0.111	1.000	0.599	0.016	0.139	0.118	-0.003	-0.028	-0.455	0.116	0.093	0.025	0.034	0.158	0.160	0.569	0.405	0.051	0.038
HbA1C_Admission_Value	0.029	-0.089	0.075	0.112	0.105	0.599	1.000	-0.005	0.185	0.143	0.006	-0.013	-0.600	0.104	0.027	0.000	0.000	0.108	0.143	0.452	0.318	0.037	0.000
Cholesterol_Value_SI_Units	-0.176	0.195	-0.179	0.014	-0.005	0.016	-0.005	1.000	0.387	0.034	0.146	0.019	0.105	0.042	0.076	0.000	0.054	0.115	0.069	0.127	0.097	0.047	0.085
Triglycerides_Value_SI_Units	-0.226	0.090	-0.070	-0.005	0.130	0.139	0.185	0.387	1.000	0.156	0.158	-0.017	-0.091	0.000	0.094	0.000	0.000	0.000	0.061	0.084	0.075	0.065	0.063
BMI	-0.154	-0.118	0.108	0.047	0.509	0.118	0.143	0.034	0.156	1.000	0.382	0.032	-0.121	0.070	0.000	0.016	0.000	0.015	0.000	0.013	0.000	0.009	0.000
Creatinine_Clearance	-0.639	0.219	-0.220	-0.060	0.258	-0.003	0.006	0.146	0.158	0.382	1.000	0.032	0.096	0.021	0.205	0.000	0.057	0.126	0.061	0.060	0.053	0.129	0.000
Education	-0.034	-0.004	-0.007	0.007	0.004	-0.028	-0.013	0.019	-0.017	0.032	0.032	1.000	-0.007	0.353	0.655	0.577	0.707	0.642	0.633	0.634	0.074	0.442	0.534
DM_Treatment	-0.110	-0.067	0.054	-0.098	-0.132	-0.455	-0.600	0.105	-0.091	-0.121	0.096	-0.007	1.000	0.200	0.113	0.011	0.019	0.237	0.237	0.700	0.713	0.065	0.037
Gender	0.162	0.000	0.000	0.117	0.121	0.116	0.104	0.042	0.000	0.070	0.021	0.353	0.200	1.000	0.380	0.000	0.000	0.207	0.120	0.162	0.163	0.433	0.064
Work	0.327	0.110	0.000	0.047	0.055	0.093	0.027	0.076	0.094	0.000	0.205	0.655	0.113	0.380	1.000	0.577	0.708	0.655	0.638	0.643	0.126	0.502	0.535
Cardiac_Arrest_Admission	0.057	0.000	0.000	0.176	0.028	0.025	0.000	0.000	0.000	0.016	0.000	0.577	0.011	0.000	0.577	1.000	0.710	0.632	0.633	0.632	0.010	0.471	0.534
Non_Cardiac_Condition	0.066	0.000	0.000	0.158	0.000	0.034	0.000	0.054	0.000	0.000	0.057	0.707	0.019	0.000	0.708	0.710	1.000	0.633	0.632	0.633	0.032	0.578	0.535
Hypertension	0.205	0.000	0.000	0.091	0.107	0.158	0.108	0.115	0.000	0.015	0.126	0.642	0.237	0.207	0.655	0.632	0.633	1.000	0.760	0.745	0.233	0.658	0.597
Dyslipidemia	0.121	0.000	0.022	0.000	0.118	0.160	0.143	0.069	0.061	0.000	0.061	0.633	0.237	0.120	0.638	0.633	0.632	0.760	1.000	0.744	0.230	0.650	0.597
DM	0.140	0.078	0.078	0.102	0.116	0.569	0.452	0.127	0.084	0.013	0.060	0.634	0.700	0.162	0.643	0.632	0.633	0.745	0.744	1.000	0.701	0.651	0.597
DM_Type	0.163	0.499	0.499	0.090	0.083	0.405	0.318	0.097	0.075	0.000	0.053	0.074	0.713	0.163	0.126	0.010	0.032	0.233	0.230	0.701	1.000	0.085	0.004
Smoking_History	0.161	0.051	0.000	0.039	0.065	0.051	0.037	0.047	0.065	0.009	0.129	0.442	0.065	0.433	0.502	0.471	0.578	0.658	0.650	0.651	0.085	1.000	0.654
Lipid_24_Collected	0.057	0.000	0.000	0.000	0.072	0.038	0.000	0.085	0.063	0.000	0.000	0.534	0.037	0.064	0.535	0.534	0.535	0.597	0.597	0.597	0.004	0.654	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	Age	Year_DM_Diagnosed	DM_Duration	Heart_Rate	Waist	Fasting_Blood_Glucose_Value_SI_Units	HbA1C_Admission_Value	Cholesterol_Value_SI_Units	Triglycerides_Value_SI_Units	BMI	Creatinine_Clearance	Gender	Education	Work	Cardiac_Arrest_Admission	Non_Cardiac_Condition	Hypertension	Dyslipidemia	DM	DM_Type	DM_Treatment	Smoking_History	Lipid_24_Collected
0	62	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	1	1	0	0	2	2	2	2	9	4	2
1	52	NaN	10.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	1	1	0	0	1	1	1	1	3	4	2
2	73	NaN	NaN	75.0	60.0	7.00	NaN	5.38	1.85	20.00	24.12	0	0	0	0	0	1	1	0	2	9	0	1
3	46	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	6	3	3	2	2	2	2	2	9	4	2
4	46	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	6	3	3	2	2	2	2	2	9	4	2
5	64	2002.0	10.0	117.0	85.0	11.93	NaN	5.40	2.24	33.29	63.60	0	4	0	0	0	1	1	1	1	5	1	1
6	56	1988.0	24.0	82.0	85.0	4.40	7.1	4.70	1.30	31.22	114.24	0	0	0	0	0	0	1	1	1	8	1	0
7	78	NaN	NaN	90.0	90.0	6.20	5.6	4.11	1.11	19.56	27.55	0	0	0	0	0	1	0	0	2	9	1	0
8	54	NaN	NaN	75.0	91.0	4.00	5.6	5.20	2.20	23.05	92.37	1	2	0	0	0	1	0	0	2	9	1	1
9	54	NaN	NaN	90.0	93.0	NaN	NaN	NaN	NaN	23.81	73.42	0	2	0	0	0	0	0	0	2	9	1	0

	Age	Year_DM_Diagnosed	DM_Duration	Heart_Rate	Waist	Fasting_Blood_Glucose_Value_SI_Units	HbA1C_Admission_Value	Cholesterol_Value_SI_Units	Triglycerides_Value_SI_Units	BMI	Creatinine_Clearance	Gender	Education	Work	Cardiac_Arrest_Admission	Non_Cardiac_Condition	Hypertension	Dyslipidemia	DM	DM_Type	DM_Treatment	Smoking_History	Lipid_24_Collected
4051	74	1987.0	25.0	88.0	NaN	10.8	8.3	5.14	1.10	28.41	56.50	1	0	0	0	0	1	1	1	1	1	1	1
4052	76	NaN	NaN	140.0	70.0	NaN	NaN	NaN	NaN	25.71	34.66	1	4	1	0	0	1	0	0	2	9	0	0
4053	61	1993.0	20.0	87.0	90.0	4.2	7.4	5.10	2.50	29.76	50.65	1	5	2	0	1	1	1	1	1	7	1	1
4054	56	2004.0	8.0	62.0	115.0	7.2	8.1	7.44	2.32	33.12	109.82	0	2	0	0	0	1	0	1	1	3	1	0
4055	41	NaN	7.0	106.0	79.0	NaN	NaN	5.90	1.90	27.97	88.77	1	0	1	0	0	1	1	1	1	7	2	1
4056	75	2001.0	11.0	98.0	92.0	7.5	8.8	4.67	2.22	23.51	45.28	1	2	0	0	0	1	1	1	1	5	1	1
4057	56	1996.0	15.0	120.0	93.0	7.9	11.6	6.66	1.53	29.39	83.77	1	0	0	2	0	0	1	1	1	7	0	1
4058	55	2006.0	NaN	109.0	72.0	9.2	11.6	3.95	0.80	22.84	89.61	1	4	0	0	0	0	0	1	1	7	0	1
4059	77	NaN	NaN	100.0	85.0	NaN	NaN	6.71	0.65	22.04	31.00	1	2	0	0	0	1	0	0	2	9	1	1
4060	73	1987.0	25.0	100.0	117.0	NaN	NaN	4.10	1.77	29.01	67.36	1	2	0	0	0	1	1	1	1	8	0	1

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII